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Authors: Dongxue Li 1 ; Qiming Wang 2 and Linlin Zhao 1

Affiliations: 1 College of Energy and Power, Shenyang Institute of Engineering, China ; 2 Technology Department, Shenyang Institute of Engineering, China

Keyword(s): Biomass boiler, Fuzzy PID, Energy saving, Heating system

Abstract: Fuzzy PID control scheme is proposed for the heating system of biomass hot water boiler characterized by nonlinearity, large inertia, uncertainty and time delay. It is used in the heating system due to high control accuracy and robustness. In this paper, fuzzy control rules are established to analyze the characteristics of indoor temperature rise. Fuzzy inference method is adopted to realize on-line tuning of PID parameters. In addition, the hardware and software design of Fuzzy PID controller are introduced in this paper. Fuzzy PID control is obviously better than the conventional Proportional-Integral-Derivative (PID) control shown in the experimental results. The indoor temperature is maintained at the comfortable human performance indicators by parameters self-tuning Fuzzy PID control, which is an ideal energy saving control program.

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Paper citation in several formats:
Li, D.; Wang, Q. and Zhao, L. (2018). Design of Biomass Boiler Intelligent Heating System Using Fuzzy PID. In 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT; ISBN 978-989-758-312-4, SciTePress, pages 19-22. DOI: 10.5220/0006964200190022

@conference{icectt18,
author={Dongxue Li. and Qiming Wang. and Linlin Zhao.},
title={Design of Biomass Boiler Intelligent Heating System Using Fuzzy PID},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT},
year={2018},
pages={19-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006964200190022},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT
TI - Design of Biomass Boiler Intelligent Heating System Using Fuzzy PID
SN - 978-989-758-312-4
AU - Li, D.
AU - Wang, Q.
AU - Zhao, L.
PY - 2018
SP - 19
EP - 22
DO - 10.5220/0006964200190022
PB - SciTePress